Python Testify vs TickSpec comparison of testing frameworks
What are the differences between Python Testify and TickSpec?

	Python Testify https://github.com/Yelp/Testify	TickSpec https://github.com/fsprojects/TickSpec
Programming language	Python	.NET
Category	Unit Testing	Acceptance Testing
General info	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features	TickSpec is a lightweight Behaviour Driven Development (BDD) framework for .Net With TickSpeck you can describe behaviour in plain text using the Gherkin business language, execute the behaviour against matching F# 'ticked' methods, or attribute-tagged C# or F# methods, run via your normal test runners or plugins and set breakpoints in the scenarios, step definitions or your code and go (setting breakpoints in the Gherkin is currently not supported in .NET Standard version)
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Front-end functionality and behaviour can be tested by Testify.	Yes You can test front-end behaviour by creating feature specifications for front-end behaviour
Server-side Allows testing the bahovior of a server-side code	Yes Testify can test various server and database behaviours and functionality	Yes You can test back-end code by creating feature specifications to test back-end behaviour
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators	Yes Fixtures are available or are derived from the class FeatureFixture
Group fixtures Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.	Yes Group fixtures are supported	Yes TickSpec contains group fixtures
Generators Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.	Yes One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.	N/A
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	Apache License 2.0
Mocks Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)	Yes It includes the turtle mock object library	Yes By using a third party mocking library like moq
Grouping Allows organizing tests in groups	Yes Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.	Yes You can create test suites with TickSpec
Other Other useful information about the testing framework